Comparing evolutionary algorithms on binary constraint satisfaction problems
نویسندگان
چکیده
منابع مشابه
Comparing evolutionary algorithms on binary constraint satisfaction problems
Constraint handling is not straightforward in evolutionary algorithms (ea) since the usual search operators, mutation and recombination, are ‘blind’ to constraints. Nevertheless, the issue is highly relevant, for many challenging problems involve constraints. Over the last decade numerous eas for solving constraint satisfaction problems (csp) have been introduced and studied on various problems...
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Constraint Satisfaction Problems form a class of problems that are generally computationally difficult and have been addressed with many complete and heuristic algorithms. We present two complete algorithms, as well as two evolutionary algorithms, and compare them on randomly generated instances of binary constraint satisfaction problems. We find that the evolutionary algorithms are less effect...
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1 I n t r o d u c t i o n Evolutionary algorithms are usually considered to be ill-suited for solving constraint satisfaction problems. Namely, the traditional search operators (mutation and recombination) are 'blind' to the constraints, that is, parents satisfying a certain constraint may very well result in an offspring that violates it. Furthermore, while EAs have a 'basic instinct' to optim...
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We compare two heuristic approaches, evolutionary computation and ant colony optimisation, and a complete tree-search approach, constraint programming, for solving binary constraint satisfaction problems. We experimentally show that, if evolutionary computation is far from being able to compete with the two other approaches, ant colony optimisation nearly always succeeds in finding a solution, ...
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We perform a detailed theoretical and empirical comparison of the dual and hidden variable encodings of non-binary constraint satisfaction problems. We identify a simple relationship between the two encodings by showing how we can translate between the two by composing or decomposing relations. This translation suggests that we will tend to achieve more pruning in the dual than in the hidden va...
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ژورنال
عنوان ژورنال: IEEE Transactions on Evolutionary Computation
سال: 2003
ISSN: 1089-778X
DOI: 10.1109/tevc.2003.816584